Security Scan Report: rstudio-education.github.io

Submitted: Dec 14, 2025, 9:50:22 AMCompleted: Dec 14, 2025, 9:50:58 AMpubliccompleted
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Summary

This website contacted 20 IPs in 1 country across 2 domains to perform 24 HTTP transactions. The main domain is rstudio-education.github.io and was registered NaN years ago.

Submitted URL: https://rstudio-education.github.io/hopr/

The Cisco Umbrella rank of the primary domain is #621,173 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate educational site with no security concerns.

Safety Factors
Hosted on GitHub Pages (github.io) which is widely trusted
Domain age > 12 years, indicating an established domain
Domain age information unavailable

Details

Page Title

Hands-On Programming with R

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

technology software

(91%)

Domain Information

You're looking at domain 'rstudio-education.github.io' on the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'rstudio-education'. Its registrable label 'github' stretches across 6 characters split between two vowels and 4 consonants. Segmentation suggests 3 words: g, it, hub. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rstudio-education.github.io/hopr/

Page Load Overview

7.91s
Total Load Time
24
HTTP Requests
2
Domains
676 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:4,140 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software91% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
91%
documentation technical
86%
entertainment media
72%
gambling betting
42%

Detected Features

Search
OG: book

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5185.199.109.153San Francisco, California, United States
AS54113FASTLY
165.8.131.23United States
AS16509AMAZON-02
165.8.131.25United States
AS16509AMAZON-02
165.8.131.87United States
AS16509AMAZON-02
1185.199.110.153United States
AS54113FASTLY
1185.199.111.153United States
AS54113FASTLY
165.8.131.75United States
AS16509AMAZON-02
1185.199.108.153United States
AS54113FASTLY
12606:50c0:8001::153United States
AS54113FASTLY
12606:50c0:8003::153United States
AS54113FASTLY
2420--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE237611B5802126010FA7CC6F85B3637393F2AEDB228FD435B0B67AA747F741A2655B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:db4caABcuuPLRPlbk4y1hdZmL7ppq1TdB0:dkcaABSg1hdZmL7nq1H0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47737:GDIUBEBJaOQAzQRFh9IMUNawgKJhTkjAlQA/IQcFIFMMI4wkqAJBpKSEiASEByRJIEFmoyCUCDB0LBiIktCFabgdqo6FGaKI

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:7f6f6b6161e36f7f
Perceptual Hash:e99296696d929e49
Difference Hash:8eccd2c2c2c3cec0
Wavelet Hash:1f6761632121637f
Color Hash:#6ce0c7

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data